Fixed Lag Smoothing Technique for Track Maintenance in Clutter

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Show simple item record Chakravorty, Rajib en_US Challa, Subhash en_US
dc.contributor.editor No editors en_US 2009-11-09T05:34:29Z 2009-11-09T05:34:29Z 2004 en_US
dc.identifier 2004002027 en_US
dc.identifier.citation Chakravorty Rajib and Challa Subhash 2004, 'Fixed Lag Smoothing Technique for Track Maintenance in Clutter', IEEE, Melbourne, Australia, pp. 119-124. en_US
dc.identifier.issn 0-7803-8894-1 en_US
dc.identifier.other E1 en_US
dc.description.abstract A fixed lag smoothing algorithm for the multi-target scenario is proposed, taking the algorithm of the integrated probabilistic data association (IPDA) filter as the basis. Both target state and its existence are estimated in IPDA. An expression for the smoothing of track existence is derived. The proposed algorithm can be implemented as an extension to PDA smoothing. PDA smoothing computes the state estimate while the derived equation can be used to smooth the existence of the tracks. Thus, a recursive form for fixed lag smoothing of track existence is incorporated into PDA smoothing. This should improve the estimate of both the track states and existence probability which should give better track maintenance. In a practical application like "situation awareness", this improvement can have a great significance. en_US
dc.publisher IEEE en_US
dc.relation.isbasedon en_US
dc.title Fixed Lag Smoothing Technique for Track Maintenance in Clutter en_US
dc.parent Proceedings on Intelligent Sensors, Sensor Networks and Information Processing en_US
dc.journal.volume en_US
dc.journal.number en_US
dc.publocation Melbourne, Australia en_US
dc.identifier.startpage 119 en_US
dc.identifier.endpage 124 en_US FEIT.School of Elec, Mech and Mechatronic Systems en_US
dc.conference Verified OK en_US
dc.conference.location Melbourne, Australia en_US
dc.for 090200 en_US
dc.personcode 10209423 en_US
dc.personcode 040218 en_US
dc.percentage 100 en_US Automotive Engineering en_US
dc.classification.type FOR-08 en_US
dc.custom International Conference on Intelligent Sensors, Sensor Networks and Information Processing en_US 20041214 en_US
dc.location.activity Melbourne, Australia en_US
dc.description.keywords clutter , parameter estimation , probability , recursive filters , signal processing , smoothing methods , state estimation , target tracking en_US
dc.staffid 040218 en_US

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